of data engineers, data analysts, and BI report developers. Your main objective is to build and manage a comprehensive data repository designed as a semanticlayer on Snowflake to meet the varied needs of front office stakeholders, systems, and clients. This position reports directly to the Head of … and best practices. Key responsibilities include: Oversee the development and maintenance of a robust data repository on Snowflake, ensuring it serves as an effective semanticlayer for aggregating and organizing data for access and analysis by Investments and Technology teams. Develop and implement a data consumption strategy, including … Strong background in data architecture and engineering, ideally within the finance or investment sector. Deep knowledge of Databricks, Snowflake and its application as a semanticlayer for data repositories. Practical understanding of core investments data domains across Equity, Fixed Income, and Alternatives. Proven ability to lead and develop more »
of data engineers, data analysts, and BI report developers. Your main objective is to build and manage a comprehensive data repository designed as a semanticlayer on Snowflake to meet the varied needs of front office stakeholders, systems, and clients. This position reports directly to the Head of … and best practices. Key responsibilities include:Oversee the development and maintenance of a robust data repository on Snowflake, ensuring it serves as an effective semanticlayer for aggregating and organizing data for access and analysis by Investments and Technology teams.Develop and implement a data consumption strategy, including creating … skills Strong background in data architecture and engineering, ideally within the finance or investment sector.Deep knowledge of Databricks, Snowflake and its application as a semanticlayer for data repositories.Practical understanding of core investments data domains across Equity, Fixed Income, and Alternatives.Proven ability to lead and develop high-performing more »
PowerBI). Experience with managing internal data engineers and third-party consultants. Lead in designing, developing, and ensuring accountability for data engineering services and semantic layers within their data warehouse. Designed & built relational and dimensional models Successfully led on data engineering activities such as release management, environment controls, CICD more »
City of London, Coleman Street, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
online only) + 20% bonus (discretionary) + Pension Experience required: Extensive knowledge and experience in data warehousing Expertise in physical modelling, ETL, ELT, CDC, semantic layers, rules engines, and reconciliation principles High level knowledge of SQL Proficiency in Python, Snowflake, and AWS Skilled in implementing monitoring, automated testing, reporting more »
team while continuing to stay hands-on. Responsibilities: Lead on the design, development, and hold accountability for data engineering services, including storage, orchestration, transformation & semantic layers across the banks data warehouse(eos) Line management of internal data engineers and Third Party Consultants Design & build ELT processes, data warehouse architectures more »
diagnostic, and predictive analytics.Proficiency in configuring and monitoring Tableau Server for peak performance.Strong stakeholder management, written, and communication skills.Ability to build, design, and leverage semantic layers.Project management and prioritization skills.Excellent presentation skills.Proficiency in simplifying complex concepts through data visualization.Strong analytical skills, capable of both big-picture thinking and attention more »
